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Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children

Overview of attention for article published in Frontiers in Artificial Intelligence, February 2022
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12 X users

Citations

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Readers on

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32 Mendeley
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Title
Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children
Published in
Frontiers in Artificial Intelligence, February 2022
DOI 10.3389/frai.2021.554017
Pubmed ID
Authors

Megan McLaughlin, Karell G. Pellé, Samuel V. Scarpino, Aisha Giwa, Ezra Mount-Finette, Nada Haidar, Fatima Adamu, Nirmal Ravi, Adam Thompson, Barry Heath, Sabine Dittrich, Barry Finette

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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 9 28%
Student > Ph. D. Student 3 9%
Professor 1 3%
Student > Postgraduate 1 3%
Other 1 3%
Other 0 0%
Unknown 17 53%
Readers by discipline Count As %
Unspecified 9 28%
Medicine and Dentistry 3 9%
Social Sciences 1 3%
Business, Management and Accounting 1 3%
Unknown 18 56%